Attention mechanism-based 12-lead electrocardiogram classification method and apparatus
US12198454B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 28, 2021 |
| Grant date | Jan 14, 2025 |
| Priority date | — |
| Expiry date | Jun 8, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/03
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An attention mechanism-based 12-lead electrocardiogram (ECG) classification method is described, the method including acquiring an original image of a 12-lead ECG, segmenting waveform data recorded in the original image to obtain segmented waveform data for each lead in the 12-lead ECG, performing depth feature extraction on the segmented waveform data of said each lead to obtain a first feature map of said each lead, performing feature transformation on the first feature map of said each lead based on an attention mechanism to obtain a depth feature of said each lead, and classifying the depth feature of said each lead to obtain a classification result for the original image. The classification method can make full use of the 12-lead ECG for overall classification and improve the accuracy of image classification.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.